Literature DB >> 25960320

Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors.

Kofi Deh1, Thanh D Nguyen1, Sarah Eskreis-Winkler1, Martin R Prince1, Pascal Spincemaille1, Susan Gauthier1, Ilhami Kovanlikaya1, Yan Zhang1, Yi Wang1.   

Abstract

PURPOSE: To assess the reproducibility of brain quantitative susceptibility mapping (QSM) in healthy subjects and in patients with multiple sclerosis (MS) on 1.5 and 3T scanners from two vendors.
MATERIALS AND METHODS: Ten healthy volunteers and 10 patients were scanned twice on a 3T scanner from one vendor. The healthy volunteers were also scanned on a 1.5T scanner from the same vendor and on a 3T scanner from a second vendor. Similar imaging parameters were used for all scans. QSM images were reconstructed using a recently developed nonlinear morphology-enabled dipole inversion (MEDI) algorithm with L1 regularization. Region-of-interest (ROI) measurements were obtained for 20 major brain structures. Reproducibility was evaluated with voxel-wise and ROI-based Bland-Altman plots and linear correlation analysis.
RESULTS: ROI-based QSM measurements showed excellent correlation between all repeated scans (correlation coefficient R ≥ 0.97), with a mean difference of less than 1.24 ppb (healthy subjects) and 4.15 ppb (patients), and 95% limits of agreements of within -25.5 to 25.0 ppb (healthy subjects) and -35.8 to 27.6 ppb (patients). Voxel-based QSM measurements had a good correlation (0.64 ≤ R ≤ 0.88) and limits of agreements of -60 to 60 ppb or less.
CONCLUSION: Brain QSM measurements have good interscanner and same-scanner reproducibility for healthy and MS subjects, respectively, on the systems evaluated in this study.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  brain; quantitative susceptibility mapping (QSM); reproducibility

Mesh:

Year:  2015        PMID: 25960320      PMCID: PMC4661140          DOI: 10.1002/jmri.24943

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  36 in total

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2.  Detection of cerebral microbleeds with quantitative susceptibility mapping in the ArcAbeta mouse model of cerebral amyloidosis.

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3.  Evaluation of iron content in human cerebral cavernous malformation using quantitative susceptibility mapping.

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5.  Flow compensated quantitative susceptibility mapping for venous oxygenation imaging.

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9.  Mapping magnetic susceptibility anisotropies of white matter in vivo in the human brain at 7 T.

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  36 in total

1.  Quantitative susceptibility mapping identifies inflammation in a subset of chronic multiple sclerosis lesions.

Authors:  Ulrike W Kaunzner; Yeona Kang; Shun Zhang; Eric Morris; Yihao Yao; Sneha Pandya; Sandra M Hurtado Rua; Calvin Park; Kelly M Gillen; Thanh D Nguyen; Yi Wang; David Pitt; Susan A Gauthier
Journal:  Brain       Date:  2019-01-01       Impact factor: 13.501

2.  Lesion magnetic susceptibility response to hyperoxic challenge: A biomarker for malignant brain tumor microenvironment?

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Journal:  J Magn Reson Imaging       Date:  2017-03-10       Impact factor: 4.813

4.  Brain Iron Distribution after Multiple Doses of Ultra-small Superparamagnetic Iron Oxide Particles in Rats.

Authors:  Andrew W Gorman; Kofi M Deh; Caspar M Schwiedrzik; Julie R White; Ernest Victor Groman; Clark A Fisher; Kelly M Gillen; Pascal Spincemaille; Skye Rasmussen; Martin R Prince; Henning U Voss; Winrich A Freiwald; Yi Wang
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5.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

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6.  Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness.

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7.  Integrated quantitative susceptibility and R2 * mapping for evaluation of liver fibrosis: An ex vivo feasibility study.

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8.  Multicenter reproducibility of quantitative susceptibility mapping in a gadolinium phantom using MEDI+0 automatic zero referencing.

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Journal:  Magn Reson Med       Date:  2018-10-04       Impact factor: 4.668

Review 9.  Longitudinal Progression Markers of Parkinson's Disease: Current View on Structural Imaging.

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10.  Age and sex related differences in subcortical brain iron concentrations among healthy adults.

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Journal:  Neuroimage       Date:  2015-07-26       Impact factor: 6.556

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